%0 Conference Paper %1 Mendes2008-xq %A Mendes, José A G %A Robson, Ricardo R %A Labidi, Sofiane %A Barros, Allan Kardec %B 2008 Congress on Image and Signal Processing %D 2008 %K Speech analysis;Neural component extraction;Circuits;Filtering;Testing;Signal networks;ICA;subvocal networks;Microcontrollers;Feature processing;electromyography;neural recognition;Electromyography;Independent recognition;subvocal %P 221--224 %T Subvocal Speech Recognition Based on EMG Signal Using Independent Component Analysis and Neural Network MLP %V 1 %X The performance of speech recognition systems is commonly degraded by either speech-related disabilities or by real-world factors such as the environmentpsilas noise level and reverberation. In this work, we propose a subvocal speech recognition system based on EMG signal for subvocal acquisition, Independent Component Analysis (ICA) for feature extraction and Neural Networks for classification. We have evaluated the systempsilas performance using a vowel phonemes database. The success rate was 93,99\%.

@inproceedings{Mendes2008-xq, abstract = {The performance of speech recognition systems is commonly degraded by either speech-related disabilities or by real-world factors such as the environmentpsilas noise level and reverberation. In this work, we propose a subvocal speech recognition system based on EMG signal for subvocal acquisition, Independent Component Analysis (ICA) for feature extraction and Neural Networks for classification. We have evaluated the systempsilas performance using a vowel phonemes database. The success rate was 93,99\%.}, added-at = {2023-06-06T00:19:46.000+0200}, author = {Mendes, Jos{\'e} A G and Robson, Ricardo R and Labidi, Sofiane and Barros, Allan Kardec}, biburl = {https://www.bibsonomy.org/bibtex/2a0c2aed8fd94ab4923c8c06967716174/willwade}, booktitle = {2008 Congress on Image and Signal Processing}, interhash = {7bf1330006f58c1d8b5001f4936674ee}, intrahash = {a0c2aed8fd94ab4923c8c06967716174}, keywords = {Speech analysis;Neural component extraction;Circuits;Filtering;Testing;Signal networks;ICA;subvocal networks;Microcontrollers;Feature processing;electromyography;neural recognition;Electromyography;Independent recognition;subvocal}, month = may, pages = {221--224}, timestamp = {2023-06-06T00:20:15.000+0200}, title = {Subvocal Speech Recognition Based on {EMG} Signal Using Independent Component Analysis and Neural Network {MLP}}, volume = 1, year = 2008 }